Food Industry Malaysia Essay Sample

The research is financed by Universiti Teknologi MARA ( Sponsoring information ) Abstract The survey examines the procedure of growing in the value added of nutrient and drinks industry in Malaysia. The per capita income. population. accomplishment and export are likely to exhibit long tally relationship with the value added growing of this industry. Using the freshly developed autoregressive distributed slowdown ( ARDL ) by Pesaran et Al. ( 1995. 1997. 1999 and 2000 ) . a long tally steady province equilibrium relationship between the independent variables and the growing public presentations of nutrient industries is detected. Specifically this survey has shown that in add-on to the size of the population and percapita income. export are closely related to the growing of the value added of nutrient and drinks industry. This empirical consequence would assist Malaysia aspiration of going a hub for the halal nutrient industry a world.

Keywords: Value added. Error rectification theoretical account. Halal nutrient. Food and drinks. Growth 1. Introduction The fabrication sector is the fastest turning sector and the dominant force in Malaysia’s growing experience. The structural transmutation in the Malayan economic system has turned the state from an exporter of primary trade goods into an exporter of high value added manufactured merchandises. During the early procedure of development in the Malayan economic system. at that place occurred a dramatic diminution of the proportion of GDP generated by the primary sector. It was counterbalanced by a dramatic addition in the portion of industrial sector and by a modest addition in the portion of the service sector. The agribusiness sector’s portion in GDP declined from 22. 3 per centum in 1980 to 8. 7 per centum in 2002. the part of the industrial sector grew from 38. 5 per centum in 1980 to 44. 5 per centum in 2002 ( Table 1 ) .

Based on the theory of structural alteration by Fisher and Clark ( 1957 ) . Malaysia was categorized as a middle-income state concerned with industrial production through fabrication. Unfortunately. even though the Malayan fabrication sector had experienced rapid export demand. this rush in demand had non been unvarying across all industries. The rapid export growing from a set of industries did non connote that these industries were besides exposing high demand growing in universe markets. The one-year growing of the fabrication industry did non execute every bit good as its portion to GDP. During the 1982 to 2002. the one-year growing of fabrication sector decreased aggressively ( Table 2 ) .

This status was reflected in the Malayan stage of industrialisation. where the authorities policy towards industrialisation kept altering over a period of three decennaries. The policy of the 1960s was the import permutation policy. followed by the export orientation in the seventiess. and in the 1980s it shifted back to import permutation policy. This indicated that growing in some industries and stagnancy or diminution in the fabrication sector was non good balanced in footings of its part to the overall economic system. The nutrient and drinks industry are one of the most of import sector in the fabrication industry. Under the Malayan Standard Industrial Classification ( MSIC ) 2000. the nutrient and drinks industry are classified under Division 15. and in the twelvemonth 2000 these sector which constitute of sector 151. sector 152. sector 153. sector 154 and sector 155 valued at RM8. 142. 057 Million. Detail information sing the categorization is given in the Table 3 and the item description of point under halal class is in Appendix 1. Fabrication is defined as the mechanical of chemical transmutation of inorganic or organic substance into new merchandises whether the work is performed by power driven machines or by manus. whether it is done by the mill or in the workers place. and whether the merchandises are sold at the wholesale or retail. ( Department of Statistic. 2000 ) .

Halal nutrients harmonizing to Malaysia External Trade Development Corporation means that all the ingredients used in fabricating the merchandises are approved Islamically. Where meat merchandises are concerned. the halal enfranchisement is awarded when the manufacturer has purely followed processs for butchering. processing and other related operations as prescribed by Islam. Much have been said about doing Malaysia a hub for halal nutrient but has the state go one yet? Prime Minister Datuk Seri Abdullah Ahmad Badawi in establishing the MIHAS ( International Malaysia Halal Showcase ) 2004 in his address said that the end of set uping Malaysia as planetary halal hub has been the purpose of the Malayan authorities for several old ages. Harmonizing to MITI ( Ministry of International Trade and Industry ) . at present there are no comprehensive figures on the public presentation of halal nutrient production in Malaysia but the size of the market can be seen by looking at the import and export of processed nutrient.

The possible market for halal nutrient is estimated in the scope of RM1. 3 trillion to RM1. 5 trillion per twelvemonth based on the universe Muslim population of about 1. 8 billion. In Malaysia itself with 60 % of population being Muslim and if we estimate the per capita outgo on nutrient as RM1 a twenty-four hours. so the demand for halal merchandise is more than RM5 billion a twelvemonth. The demand for halal nutrient is expected to spread out increasingly in position of the increasing tendency among Muslims to detect dietetic duties. Under the Third Industrial Master Plan ( 2005-2010 ) . is to place Malaysia as an international halal nutrient hub and several possible sectors in nutrient processing are identified. Hence. in this survey. the first issue is to analyze the procedure of growing of nutrient and drinks value added in Malaysia. It is hoped that the independent variables that show stable long run co-movement with the value added of nutrient and drinks industry. will be helpful in the planning and supervising the public presentation of this industry. It is besides of import to look into any regularity that underlies the nutrient and drinks sector during the industrialisation procedure.

In reexamining the related scenario. this survey examines the growing procedure of nutrient and drinks industry in Malaysia. To carry through our undertakings. the survey adopts the freshly proposed autoregressive distributed slowdown ( ARDL ) . The remainder of the paper is organized as follows. The following two subdivisions discuss the definition of variables and methodological analysis of this survey. This is followed by reading of consequence. The concluding subdivision concludes the paper. 2. Definition of nutrient and drinks industry variables In the survey of comparative growing of fabrication industries formulated by Chenery-Taylor ( 1968 ) . from the basic equation. the dependent variable is value added. and the independent variable is per capita income. However this survey extended the theoretical account by doing some alterations in order to capture the Malayan economic conditions. by adding few of import variables such as population. accomplishment and export. 1 ) Gross value added ( Vi ) The value of end product less the value of intermediate ingestion ; it is a step of the part to GDP made by an single manufacturer. industry or sector. The measuring is in 1000 Ringgit Malaysia. The suited value will be in nominal signifier.

The value added instead than gross end product is used since value added appears to be more appropriate step of the importance of a sector in the economic system. Tamamura ( 2002 ) used value added as one of the variables to replace GDP in his survey of structural alteration in the Asia Pacific part. 2 ) Per capita income ( Y ) Per capita income is an mean income of a state population. it is measured by spliting the nominal GDP by the population. and the value is in the nominal signifier. Since per capita income is influenced by monetary value degree. it is required to alter the per capita income to changeless monetary value and the value is in million Ringgit Malaysia. 3 ) Population ( N ) Data for old ages 1970 – 1990 were compiled from Revised Intercensal Mid-year Population Estimates.

The population estimations for 1991 – 2000 are based on the 1991 Population Census information which had earlier been adjusted for under-enumeration and to mid-year and later projected to currents old ages. These projections are derived based on premise of constituents of birthrate. mortality and migration. The measuring is in 1000. 4 ) Export of goods ( Ten ) It consists of exports of the undermentioned points from occupants to non-residents. by and large with a alteration of ownership involved: general ware. goods for processing. fixs of goods. goods procured in foreign ports by domestic bearers and non-monetary gold. The measuring is in 1000 Ringgit Malaysia and in the nominal signifier. Exports have become a really of import index in Malaysia’s economic system particularly since the 1980s. 5 ) Skill strengths ( S ) Skill intensities in this survey stand foring proficient workers and skilled workers.

Technical workers are those with proficient cognition with sheepskin and certifications. while skilled workers are those with formal preparation that is required by the house. In other words. houses have given adequate preparation to their workers in footings of production and managing equipment. Measurement that will be used is figure of proficient and skilled workers ( citizen and non-citizen ) for that peculiar twelvemonth. Gera and Mang ( 1997 ) . in their survey of Canada industrial end product concluded that industries with higher accomplishment demands have systematically accounted for a larger proportion of entire fabrication end product than their more reasonably skilled opposite numbers. Thus we can explicate a relationship between value added and the independent variables as follows:

We employ the bounds proving process developed by Pesaran et Al. 1996 ( see Pesaran and Pesaran. 1997 ; Pesaran and Shin. 1999 ; Pesaran et Al. . 2001 ) . within an autoregressive distributed slowdown model ( ARDL ) . This process has several advantages over options such as the Engle and Granger ( 1987 ) two-step residual-based process for proving the nothing of no cointegration and the system-based decreased rank arrested development attack pioneered by Johansen ( 1988. 1995 ) and Johansen and Juselius. 1990. The first chief advantage is that the bounds test attack can be applied irrespective of the stationary belongingss of the variables in the sample and allows for illations on long tally estimations. which is non possible under alternate cointegration processs.

Second. the unrestricted mistake rectification theoretical account ( UECM ) is likely to hold better statistical belongingss that the two-step Engle-Grangerr method because. unlike the Engle-Granger method the UECM does non force the shot-run kineticss into the residuary term ( Banerjee et al. . 1993. 1998 ) . The other major advantage of the bounds test attack is that it can be applied to surveies that have a little sample size. Therefore. the undermentioned ARDL ( a. b. c. d. vitamin E ) theoretical account will be estimated: a where each variable is every bit defined before. The bounds trial process involves two phases. The first phase is to set up the being of a long tally relationship. Once a long tally relationship has been established. a two measure process is used in gauging the long tally relationship predicted by theory among the variables. Suppose that with regard to equation ( 1 ) . theory predicts that there is a long-term relationship among ln Vi. ln Yt. . ln Nt. ln Crosstalk and ln St. Without holding any anterior information about the way of the long-term relationship among the variables. the undermentioned unrestricted mistake rectification arrested developments are estimated ( for Eq. ( 1 ) ) .

When a long-term relationship exists. the F-test indicates which variable should be normalized. The void hypothesis for no cointegration among the variables in Eq. 3 is H 0: four 2v 3v 4v 5 V = 0. denoted by Fv ( V/ Y. N. S. X ) against the alternate H 0: different dependant variables. 100

If the computed F statistics falls outside the critical bounds. a conclusive determination can be made sing cointegration without cognizing the order of integrating of the regressors. For case. if the empirical analysis shows that the estimated Fv ( ) is higher than the upper edge of the critical values so the void hypothesis of no cointegration is rejected. Once a long tally relationship has been established. in the 2nd phase. a farther two measure process is gauge the theoretical account is carried out. First the order of the slowdowns in the ARDL theoretical account are selected utilizing the Schwartz Bayesian Criteria ( SBC ) and in the 2nd measure the selected theoretical account is estimated by the ordinary least squares technique. 4. Consequence and reading The first measure in the analysis of this survey is to look into for the stationarity of all the variables ( both dependant and independent variables ) . The unit belongings of the series is important for cointegration and causality analyses. which will be examined utilizing the Augmented Dickey Fuller ( ADF ) trials.

Table 4 studies the Augmented Dickey-Fuller trial consequences in degree and first difference at changeless mistake tendency. The consequences indicate that the void hypothesis of a unit root could non be rejected for all variables in degrees except variable Ten ( export ) and V2. However. the hypothesis of unit root was rejected at the first difference for most of the variables as presented in Table 4. Since all the variables are non integrated at the same order. we proceed to prove the cointegration of both dependent and independent variables by utilizing ARDL. We start the 2nd measure by proving the presence of long-term relationship. The bounds attack compares the deliberate F-statistics against the critical value are reported in Table 5. For all the five equations the computed F-statistic that exceed the upper critical value at 1 per centum and 10 per centum. bespeaking that there is a alone cointegration relationship among the value added of nutrient industry. per-capita income. population. export and accomplishment. Before traveling to the elaborate account of the ARDL consequences. Table 6 presents the diagnostic trials of each equation.

The ARDL coefficients integrate the short-term kineticss in the long-term relationship of the variables. Given that the regressors are cast in the first difference. the empirical consequences indicate a satisfactory statistical tantrum. as judged by the adjusted – R2. The statistic trials for residuary consecutive correlativity do non reject the void hypothesis of no consecutive correlativity in the remainders at 5 per centum degree for 2 out of 5 dependent variables. Harmonizing to the J-B and Arch trials. heteroscedasticity does non present any job in any of the relationships at 10 % degree for 5 dependent variables. The trial statistics besides do non reject the hypothesis that the estimated equations possess a normal distribution. 4. 1 Long Run Relationship The primary focal point of this survey is to analyze the long tally effects of Y ( per capita income ) . N ( population ) . Ten ( export ) and S ( accomplishment ) on the value added of nutrient and drinks industry. The estimated long run coefficients of the comparative growing of fabrication industries theoretical account are presented in Table 7.

The ARDL long tally coefficients consequences for sector 151 ( V1 ) have the expected positive marks and are important except export. The long tally impact of per capita income. population and accomplishment on value added for this sector differ in magnitudes. with the greatest coming from population ( 10. 5645 ) . followed by per-capita income ( 4. 2863 ) and accomplishment ( 2. 6084 ) . The coefficient of export though positive has no important impact on value added in this sector. In the instance of sector 152 ( V2 ) . the mark of the long tally coefficients is mix. The coefficients of per-capita income ( 0. 5067 ) . population ( 2. 0033 ) . and accomplishment ( 0. 1814 ) are negative mark and export ( 1. 1322 ) positive but are non important. So. we can reason that the empirical consequences suggest that there is no important impact of per capita income. population. export and accomplishment on comparative growing of value added of sector 152 ( industry of dairy merchandise ) . For sector 153 ( V3 ) . the long tally ARDL consequences show that all the variables have either positive or negative marks and are important. The consequences indicate that export ( 0. 6657 ) and per-capita income ( 0. 5340 ) are the driving force in the growing of grain factory merchandise. starches and amylum merchandises.

However. the population ( -0. 5418 ) and accomplishment ( -0. 2344 ) tend to diminish the growing of this sector. In the instance of sector 154 ( V4 ) . the consequences showed that there is no long tally relationship between value added in industry of bakery merchandise and its determiners. Finally. sector 155 ( V5 ) . the consequence showed that there is a long tally cointegration relationship between dependant and independent variables. The population of ( 12. 7825 ) is the major factor that enhances the comparative growing of drinks industry. Per-capita income ( 0. 6564 ) and export ( 1. 9030 ) are besides of import variables that strongly contribute to the growing of this sector. accomplishment ( 4. 2032 ) has a negative consequence on the value added in this sector. In general. the empirical consequences show that the relationship between the growing in fabrication industries and the independent variables viz. income. population. export. and accomplishment are non conclusive.

Indeed. the long tally estimated consequences suggest that the consequence of income. population. export. and skill could be either positive or negative. The first equation in Table 5 indicates that value added in three sectors have positive relationship with degree of income. These three sectors are sector 151 ( Production. processing & A ; saving of meat. fish. fruits. veggies. oils and fat ) . 153 ( Grain factory merchandises. starches and amylum merchandises and prepared carnal provenders ) and 155 ( Beverages ) . Furthermore. the consequences presented in Table 4 indicate that there is a positive “size” consequence between the growing of fabrication sectors and the population variable. Among the five industry groups. merely sector 155 ( Beverages ) is positively and statistically important and sectors 151 ( Production. processing & A ; saving of meat. fish. fruits. veggies. oils and fat ) . and 153 ( Grain factory merchandises. starches and starch merchandise and prepared carnal provender ) . have negative marks and are statistically important. Taking both per capita income and population coefficients together. there is a domestic “consumption effect” in the enlargement of value added of sector 155 ( Beverages ) . With respects to exports. the consequences show that they are positively related to value added in two sectors. namely153 ( Grain factory merchandises. starches and starch merchandise and prepared carnal provender ) and 155 ( Beverages ) .

Skill strengths are positively related to value added sector of 151 ( Production. processing & A ; saving of meat. fish. fruits. veggies. oils and fat ) . Two sectors show negative relationships to skill strengths. The two sectors are 153 ( Grain factory merchandises. starches and starch merchandise and prepared carnal provender ) and 155 ( Beverages ) . 4. 2 Error Correction Model ( ECM ) At the underside of Table 6. we present the estimated mistake rectification footings and short tally coefficients of the nutrient and drinks industry. The consequence shows that the mistake rectification footings in all sectors. except V4. are negative and important. The findings of the fabrication industry of divisions 15 presented in Table 6 show that in the short tally. the impact of the degree of income on the growing of this fabrication industry can be both positive or negative. The positive and important impact of the degree of income can be found in the fabrication sector of production. processing. and savings of meat. fish. fruits. veggies. oils and fats ( 153 ) at slowdown 1. These findings are expected as the rise in the degree of income is considered important to demand for the merchandises from the fabrication of sector 153.

The income snap in the sector is moderate and ranges between –1. 65 and 0. 78. Our consequences could non demo any impact of the degree of income on in the sector 154 ( Industry of other nutrient merchandises ) and sector 155 ( industry of drinks ) . But in sector 151 ( production. processing. and savings of meat. fish. fruits. veggies. oils and fats ) the consequence of income is negative. Second. the consequences reveal that population airss positive and important impact on the growing of nutrient fabricating merely in sector 153 ( Industry of grain factory merchandises. starches and amylum merchandises and prepared carnal provenders ) . However the consequence of population is non much in the nutrient fabricating industry such as the industry of production. processing. and savings of meat. fish. fruits. veggies. oils and fats. the industry of dairy merchandise. the industry of other nutrient merchandises and the industry of drinks. The impact of population on the growing of nutrient fabrication industry is really elastic with the snap scope from 8. 32 per cent to 25. 83 per cent. The 3rd findings relate to the impact of the export on the growing of the nutrient and drinks fabricating industry.

The consequences show that merely sector 151 ( production. processing. and savings of meat. fish. fruits. veggies. oils and fats ) is affected by exports. This is mostly due to the fact that Malaysia is the 2nd largest palm oil manufacturer and most of Malaysia ‘s palm oil exports are processed palm oil. which is included in the production. processing and savings. meat. fish. fruits. veggies. oils and fats sector. For the Manufacture of grain factory merchandises. starches and amylum merchandises and prepared animate being provenders. the impact of export is negative. Elasticity of export scope from 0. 6 to 1. 25 per centum. The 4th findings of the nutrient fabrication industry show that the impact of accomplishment variable on the growing of nutrient industry can be positive or negative. In sector 151 accomplishment has positive consequence. while in sector 152 ( dairy merchandise ) it has a negative impact. The short-term snap of accomplishment scope from 1. 47 to 1. 25.

The mistake rectification footings for all nutrient fabrication industry equations ( ECM ( -1 ) ) prove to be important. This provides extra support in reasoning that there is co-integration. Such a determination suggests the being of a long-run causal relationship between the variables in the theoretical account. The negative ( or positive ) mark of the coefficient of the error term means that it would negatively ( or positively ) affect the short-run growing of the dependant variable. However. the moderate snap coefficient of the error term indicates moderate response ( i. e. velocity of accommodation ) of the dependant variable to the equilibrium degree. 5. Decision The chief aim of this survey is to analyze the growing procedure of nutrient and drinks industries. Consequences based on the ARDL analysis of fabricating nutrient and drinks value added shown that fabricating end product growing can be partly explained by the enlargement of manufactured exports and ingestion effects as indicated by positive per capita income. population and export coefficients for the bulk of industrial groups.

In the long tally. the impact of per capita income is found to be positive in four equations. and important in three out of five equations. The
magnitude of the coefficients ranges from every bit high as 4. 2863 for sector 151 to 0. 5340 for sector 153. The coefficient for population in the long tally ranges every bit high as 12. 7825 to 10. 5645 for merely two sectors 151 and 155. This consequence provides some support for “domestic ingestion consequence. ” The impact of export on comparative value added growing rate is found to be positive in four equations and important in merely two. with the scope of 0. 6564 to 0. 6657. This implies that industry of grain factory merchandises. starches and amylum merchandises and prepared animate being provenders and industry of drinks are export oriented. In general. the survey concludes that the growing of value added in nutrient and drinks industry depends closely on per capita. population and export. This empirical consequence hopefully would assist do Malayan aspiration of going a hub for the halal nutrient industry a world.

Mentions

Banerjee. A. . Galbraith. J. & A ; Hendry. D. ( 1993 ) . Cointegration. Error Correction and Econometric Analysis of Non-stationary Data. Oxford Univ. Press. Oxford. Banerjee. A. . Dolado. J. & A ; Mestre. R. ( 1998 ) . Error-correction Mechanism Trials for Cointegration in a Single Equation Framework. Journal of Times Series Analysis 19. 267-283. Clark. C. ( 1957 ) . The Conditions of Economic Progress. 3rd erectile dysfunction. Macmillan. London. Chenery. H. B. & A ; Taylor. L. ( 1968 ) . Developments Forms: Among States and Over Time. Review of Economics an Statistics. Vol. 50. No. 4. pp. 391 – 416. Fisher. A. G. B. & A ; Clark. C. ( 2001 ) . Fisher Clark’s Theory of Structural Change. hypertext transfer protocol: // World Wide Web. Fisher Clarks Theory Structural Change ( Biz/ed Virtual Developing Country ) . Accessed on 1 January 2003. Fisher. A. G. B. & A ; Clark. C. . ( 1957 ) . Production. Primary. Secondary and Tertiary. Economic Record 15 ( 28 ) . 24 – 38 Gera. S. and Mang. K. ( 1997 ) . The Knowledge – Based Economy: Shifts in Industrial Output. Working Paper No. 15. Industry Canada. Johansen. S. ( 1988 ) . Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control 12. 231-234. Tamamura. C. ( 2002 ) . Structural Change in International Industrial Linkages and Export Competitiveness in the Asia-Pacific Region. Asean Economic Bulletin. Singapore. Pesaran. M. H. & A ; B. Pesaran ( 1995 ) . A Non-nested Trial of Level-Differenced Versus Log – Differenced Stationary Models. Economic Reviews. 14. pp. 213-27. Table 1. Malaysia GDP By Kind of Economic Activity at 1978 Changeless Prices. 1980 – 2002

Economic Activities Agriculture Mining and quarrying Manufacturing Electricity. gas and H2O Construction Wholesale and retail trade. hotels and eating houses Transport. storage and communicating Finance. insurance. existent estate and concern services Other services Government services Less Imputed bank service charges Plus Import responsibilities 1980 22. 3 12. 8 18. 5 2. 2 5. 0 13. 1 5. 9 7. 7 7. 3 9. 6 2. 3 5. 2 1985 20. 3

Beginning: Malaysia Economic Statistic-Time Series 2002. Department of Statistic ( 2003 ) Table 3. Definition of each sector under nutrient and drinks Sector 151 ( V1 ) 152 ( V2 ) 153 ( V3 ) 154 ( V4 ) 155 ( V5 ) Classification Production. processing & A ; saving of meat. fish. fruits. veggies. oils and fats. Industry of diary merchandises Manufacture of grain factory merchandises. starches and amylum merchandises and prepared animate being provenders. Industry of bakeshop merchandises. Industry of drinks

or contains a unit root. The rejection of nothing

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hypothesis for ADF trial is based on the MacKinnon Critical Values ** indicates the rejection of the void hypothesis at 5 % significance degree. ***indicates the rejection of the void hypothesis at 1 % significance degree

151 Industry of vegetable and carnal oils and fats 1511 15111 ( 31110p ) Processing and preserving of domestic fowl merchandises 1512 15120 ( 31140 ) Processing and preserving of fish and fish merchandises 1513 15131 ( 31131 ) Pineapple tining 15139 ( 31139 ) Canning and preserving of other fruits and veggies 1514 15141 ( 31151 ) Industry of coconut oil 15142 ( 31152p ) Industry of rough palm oil 15143 ( 31152p ) Industry of refined palm oil 15144 ( 31153 ) Industry of palm meats oil 152 Industry of diary merchandises 1520 15201 ( 31121 ) Industry of ice pick 15202 ( 31129p ) Industry of condensed. powdered and evaporated milk 15209 ( 31129p ) Industry of other dairy merchandises 153 Industry of grain factory merchandises. starches and amylum merchandises. and prepared animate being provenders 1531 15311 ( 31161. 31162 ) Rice milling 15312 ( 31163 ) Flour miling 15319 ( 31169 ) Industry of flour/grain factory merchandises 1532 15321 ( 31216 ) Industry of amylum 15322 ( 31219 ) Industry of glucose and glucose sirups maltose 15323 ( 31164 ) Industry of sago and topioca flour/ merchandises 15329 ( 31159p. 31219p ) Industry of other amylum merchandises 154 Industry of bakeshop merchandises 1541 15411 ( 31171p ) Industry of biscuits and cookies 15412 ( 31172 ) Industry of staff of life. bar and other bakeshop merchandises 1542 15420 ( 31180 ) Industry of sugar 1543 15431 ( 31190p ) Industry of chocolate merchandises 15432 ( 31190p ) Industry of cocoa merchandises and sugar confectionary 1544 15440 ( 31214 ) Industry of macaroni. noodles and similar merchandises 15491 ( 31211 ) Industry of ice 15492 ( 31212 ) Industry of java 15493 ( 31213 ) Industry of tea 15494 ( 31215 ) Industry of spices and curry pulverization 15495 ( 31190p ) Industry of nut and nut merchandise 15496 ( 31119p ) Industry of sauces including seasoning infusions such as monosodium glumate 15497 ( 31219p. 31171p ) Industry of bite: cracker/ french friess ( e. g prawn/fish crackers ( keropok ) . potato/ banana/
topioca french friess ) 15499 ( 31219p ) Industry of other nutrient merchandises 155 Industry of drinks 15530 ( 31330 ) Industry of malt spiritss and malt 15541 ( 31340p ) Industry of soft drinks 15542 ( 31340p ) Production of mineral merchandises Note: ( ) codification under M. I. C. 1972 107